Automatic text analysis: gradations of text types in web pages

M. Santini

Automatic text analysis: gradations of text types in web pages

M. Santini

University of Brighton

Research output: Chapter in Book/Conference proceeding with ISSN or ISBN › Conference contribution with ISSN or ISBN › peer-review

Abstract

In this paper we present a first implementation of a linguistic expert system, which combines Bayesian inference and the knowledge of a domain expert, the linguist. The system is capable of automatically deriving the gradations of four text types -- descriptive/narrative, explicatory/informational, argumentative/persuasive, instructional -- from web pages. The evaluation of the system against human assessment shows that the system is effective and promising.

Original language	English
Title of host publication	Proceedings of the 10th ESSLLI student session
Editors	J. Gervain
Pages	276-285
Number of pages	10
Publication status	Published - 2005
Event	Proceedings of the 10th ESSLLI student session - Edinburgh, UK Duration: 1 Jan 2005 → …

Conference

Conference	Proceedings of the 10th ESSLLI student session
Period	1/01/05 → …

Bibliographical note

Item is freely available at: http://people.sissa.it/~gervain/ProceedingsPages145-296.pdf

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http://people.sissa.it/~gervain/StuS.htmlLicence: Unspecified

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title = "Automatic text analysis: gradations of text types in web pages",

abstract = "In this paper we present a first implementation of a linguistic expert system, which combines Bayesian inference and the knowledge of a domain expert, the linguist. The system is capable of automatically deriving the gradations of four text types -- descriptive/narrative, explicatory/informational, argumentative/persuasive, instructional -- from web pages. The evaluation of the system against human assessment shows that the system is effective and promising.",

author = "M. Santini",

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N2 - In this paper we present a first implementation of a linguistic expert system, which combines Bayesian inference and the knowledge of a domain expert, the linguist. The system is capable of automatically deriving the gradations of four text types -- descriptive/narrative, explicatory/informational, argumentative/persuasive, instructional -- from web pages. The evaluation of the system against human assessment shows that the system is effective and promising.

AB - In this paper we present a first implementation of a linguistic expert system, which combines Bayesian inference and the knowledge of a domain expert, the linguist. The system is capable of automatically deriving the gradations of four text types -- descriptive/narrative, explicatory/informational, argumentative/persuasive, instructional -- from web pages. The evaluation of the system against human assessment shows that the system is effective and promising.

M3 - Conference contribution with ISSN or ISBN

SP - 276

EP - 285

BT - Proceedings of the 10th ESSLLI student session

A2 - Gervain, J.

T2 - Proceedings of the 10th ESSLLI student session

Y2 - 1 January 2005

ER -

Automatic text analysis: gradations of text types in web pages

Abstract

Conference

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Cite this